Sign in
Categories
Migration Mapping Assistant Your Saved List Partners Sell in AWS Marketplace Amazon Web Services Home Help

WebSphere Base Edition (1328 results) showing 21 - 30



Teradata Vantage is an integrated analytics platform for analyzing all your data, all the time. With this SaaS offer, Teradata provisions and manages AWS infrastructure in a dedicated VPC, enabling you to focus on answers, not IT. Vantage offers full integration with favorite tools and languages...

  • Version AVE 19.2 and DD VE 4.0 with DD OS 7.0
  • Sold by Dell EMC

Avamar Virtual Edition (AVE) and Data Domain Virtual Edition (DD VE) are software-defined versions of the industry leading data protection software and data protection appliance. This combined solution delivers the benefits of DD VE's scalability and performance, and the simplicity and efficiency...

  • Version PowerProtect DDVE v5.0 with 7.2.0.5
  • Sold by Dell EMC

Dell EMC PowerProtect DD Virtual Edition (DDVE) is the software-defined data protection solution based on industry-leading Dell EMC PowerProtect DD, the world's most trusted protection storage. DDVE can now deliver increased transactional and operational efficiencies, reliability and lower TCO by...

Linux/Unix, Other 7.2.0.5-653470 - 64-bit Amazon Machine Image (AMI)


AWS Deep Learning Base AMI provides a foundational platform of NVIDIA CUDA, cuDNN, GPU drivers, Intel MKL-DNN, Docker and Nvidia-Docker, etc. for deploying your own custom deep learning environment. For example, for machine learning developers contributing to open source deep learning framework...

Linux/Unix, Ubuntu 16.04 - 64-bit Amazon Machine Image (AMI)

  • Version Cube 6.4.4 Base and Voyager v1.0.1
  • Sold by Citilabs Inc

$340.00/mo + $4.63 to $4.63/hr for software + AWS usage fees

The Cube software suite is a comprehensive set of modules that support transportation planning, including transportation forecasting and system analysis. Cube integrates the best in modeling methods with the best in graphics technology for the study of transportation systems. Cube Base includes...

Windows, Windows Server 2012 2015.05.04 - 64-bit Amazon Machine Image (AMI)

Product Support Connection


Starting from $0.20/hr or from $1,607.00/yr (8% savings) for software + AWS usage fees

Cognosys presents this specially pre-configured SQL Server 2016 Standard Edition image. Enterprise Customers who are looking for SQL Server 2016 Standard Edition can use this Image for instantaneous deployments. In SQL Server 2016 Standard edition, you have to license per core, with a minimum of...

Windows, Windows Server 2016 with SQL Server 2016 Standard 2016 - 64-bit Amazon Machine Image (AMI)


AWS Deep Learning Base AMI provides a foundational platform of NVIDIA CUDA, cuDNN, GPU drivers, Intel MKL-DNN, Docker and Nvidia-Docker, etc. for deploying your own custom deep learning environment. For example, for machine learning developers contributing to open source deep learning framework...

Linux/Unix, Amazon Linux 2019.01 - 64-bit Amazon Machine Image (AMI)

Product Support Connection

  • Version SQL Server 2016 SE Win2016 V1.0.6
  • Sold by Cognosys Inc.

Starting from $0.20/hr or from $1,607.00/yr (8% savings) for software + AWS usage fees

Cognosys presents this specially pre-configured SQL Server 2016 Standard Edition image. Customers who are looking for SQL Server 2016 Standard Edition can use this Image for instantaneous deployments. Disclaimer: The respective trademarks mentioned in the offering are owned by the respective...

Windows, Windows Server 2016 with SQL Server 2016 Standard 2016 - 64-bit Amazon Machine Image (AMI)


This is the base AMI for FireSim, an easy-to-use, open-source, FPGA-accelerated cycle-accurate hardware simulation platform that runs on Amazon EC2 F1. FireSim automatically transforms and instruments open-hardware designs (e.g. RISC-V Rocket Chip, BOOM, Hwacha, NVDLA, etc.) into fast (10s-100s...

Linux/Unix, CentOS 7.5 - 64-bit Amazon Machine Image (AMI)


AWS Deep Learning Base AMI provides a foundational platform of NVIDIA CUDA, cuDNN, GPU drivers, Intel MKL-DNN, Docker and Nvidia-Docker, etc. for deploying your own custom deep learning environment. For example, for machine learning developers contributing to open source deep learning framework...

Linux/Unix, Ubuntu 18.04 - 64-bit Amazon Machine Image (AMI)